Forrester Research evaluated 13 big data predictive analytics solution vendors. They found three Leaders, eight Strong Performers, and two Contenders. Modern tools are lowering the barrier to entry and increasing the appeal of predictive analytics for users with less statistics skills. Predictive analytics has limited value unless the insights can be deployed directly into software applications and business processes through APIs, web services, and other methods. The report provides an overview of the predictive analytics solutions market and evaluations of individual vendors.
Forrester Research evaluated 13 big data predictive analytics solutions providers based on 45 criteria. They found three Leaders, eight Strong Performers, and two Contenders. Modern tools are lowering the barrier to entry and increasing appeal for predictive analytics among users with less statistics skills. Predictive analytics has limited value unless the insights can be deployed directly into software applications and business processes through APIs, web services, and other methods. The report provides an overview of the predictive analytics solutions market and the evaluation criteria used to assess and score the vendors.
Forrester Research evaluated 13 big data predictive analytics solutions providers based on 45 criteria. They found three Leaders, eight Strong Performers, and two Contenders. Modern tools are lowering the barrier to entry and increasing appeal for users with less statistics skills. Predictive analytics has limited value unless the insights can be deployed directly into applications and business processes through APIs, web services, and other methods. Enterprises have many solid choices for big data predictive analytics solutions from the evaluated vendors.
The document summarizes a Forrester research report on big data predictive analytics solutions. It finds that vendors must address the challenges of big data predictive analytics to help firms harness big data for predictive models to improve business outcomes. The market for big data predictive analytics is growing as more organizations seek to use these solutions. Key differentiators among vendors include their abilities to handle big data, provide easy-to-use modeling tools, and support a wide range of algorithms for structured and unstructured data.
This 66-page guide goes over everything you need to know about embedded analytics - targeted for software executives and product managers looking to build product value with embedded analytics. Learn more at www.logianalytics.com.
Forrester big data_predictive_analyticsShyam Sarkar
The document provides an overview of the big data predictive analytics market and solutions. It discusses how predictive analytics can help organizations reduce risks, make better decisions, and deliver personalized customer experiences by analyzing big data. The document evaluates 10 leading vendors of big data predictive analytics solutions based on their current offerings, strategies, and market presence. It finds that the ability to handle big data, easy-to-use modeling tools, and a wide choice of algorithms differentiate the leading solutions in this growing market.
Making Predictive Analytics Practical: How Marketing Can Drive EngagementProgress® Sitefinity™
Watch the full webinar recording here: http://goo.gl/4AdwiC
Nearly every marketer is coming to the realization that the future includes some combination of Big Data and predictive analytics. But how do you get there? Having the data is one thing, but understanding it and making it work for you is something else completely. Join Rowan Curran, Business Technology Researcher at Forrester Research, and Robert Mattson, Director of Product Marketing at Telerik, as they discuss recent research and real-life examples on the state of marketing and predictive analytics.
You will learn:
• How predictive analytics can drive more engaging personalized experiences
• What tools companies are using to build better contextualization for their customers
• The need for prescription in analytics
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
This document provides an overview of a presentation on core banking and channel refresh for financial institutions. It discusses macro drivers like customer experience, cost efficiency and revenue growth that are shaping the industry. Key strategic drivers for core banking refresh include enhancing the customer experience, achieving operational efficiency, meeting regulatory requirements, and supporting business innovation. Common investment areas are online and mobile platform upgrades and core banking enhancements. The presentation examines questions around bank strategy, prioritizing core versus channels, remediating or replacing existing core platforms, and how to select a new core banking platform.
Forrester Research evaluated 13 big data predictive analytics solutions providers based on 45 criteria. They found three Leaders, eight Strong Performers, and two Contenders. Modern tools are lowering the barrier to entry and increasing appeal for predictive analytics among users with less statistics skills. Predictive analytics has limited value unless the insights can be deployed directly into software applications and business processes through APIs, web services, and other methods. The report provides an overview of the predictive analytics solutions market and the evaluation criteria used to assess and score the vendors.
Forrester Research evaluated 13 big data predictive analytics solutions providers based on 45 criteria. They found three Leaders, eight Strong Performers, and two Contenders. Modern tools are lowering the barrier to entry and increasing appeal for users with less statistics skills. Predictive analytics has limited value unless the insights can be deployed directly into applications and business processes through APIs, web services, and other methods. Enterprises have many solid choices for big data predictive analytics solutions from the evaluated vendors.
The document summarizes a Forrester research report on big data predictive analytics solutions. It finds that vendors must address the challenges of big data predictive analytics to help firms harness big data for predictive models to improve business outcomes. The market for big data predictive analytics is growing as more organizations seek to use these solutions. Key differentiators among vendors include their abilities to handle big data, provide easy-to-use modeling tools, and support a wide range of algorithms for structured and unstructured data.
This 66-page guide goes over everything you need to know about embedded analytics - targeted for software executives and product managers looking to build product value with embedded analytics. Learn more at www.logianalytics.com.
Forrester big data_predictive_analyticsShyam Sarkar
The document provides an overview of the big data predictive analytics market and solutions. It discusses how predictive analytics can help organizations reduce risks, make better decisions, and deliver personalized customer experiences by analyzing big data. The document evaluates 10 leading vendors of big data predictive analytics solutions based on their current offerings, strategies, and market presence. It finds that the ability to handle big data, easy-to-use modeling tools, and a wide choice of algorithms differentiate the leading solutions in this growing market.
Making Predictive Analytics Practical: How Marketing Can Drive EngagementProgress® Sitefinity™
Watch the full webinar recording here: http://goo.gl/4AdwiC
Nearly every marketer is coming to the realization that the future includes some combination of Big Data and predictive analytics. But how do you get there? Having the data is one thing, but understanding it and making it work for you is something else completely. Join Rowan Curran, Business Technology Researcher at Forrester Research, and Robert Mattson, Director of Product Marketing at Telerik, as they discuss recent research and real-life examples on the state of marketing and predictive analytics.
You will learn:
• How predictive analytics can drive more engaging personalized experiences
• What tools companies are using to build better contextualization for their customers
• The need for prescription in analytics
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
This document provides an overview of a presentation on core banking and channel refresh for financial institutions. It discusses macro drivers like customer experience, cost efficiency and revenue growth that are shaping the industry. Key strategic drivers for core banking refresh include enhancing the customer experience, achieving operational efficiency, meeting regulatory requirements, and supporting business innovation. Common investment areas are online and mobile platform upgrades and core banking enhancements. The presentation examines questions around bank strategy, prioritizing core versus channels, remediating or replacing existing core platforms, and how to select a new core banking platform.
Intuition is not a mystery but rather a mechanistic process based on accumulated experience. Leading businesses are engineering intuition into their organizations by harnessing machine learning software, massive cloud processing power, huge amounts of data, and design thinking in experiences. This allows them to anticipate and act with speed and insight, improving decision making through data-driven insights and acting as if on intuition.
Technolony Vision 2016 - Primacy Of People First In A Digital World - Vin Mal...Vin Malhotra
The document discusses emerging technologies and their impact on businesses over the next 3-5 years based on research by Accenture. It identifies 5 technology trends that will be essential for business success: 1) Intelligent Automation using AI to automate tasks, 2) Liquid Workforce to build a flexible workforce, 3) Platform Economy using platforms for business model innovation, 4) Predictable Disruption from digital ecosystems, and 5) Digital Trust to strengthen customer relationships through ethics and security. The research involved input from experts and a global survey of over 3,100 business and IT executives.
1) Advanced analytics uses predictive, proactive, and forecasting capabilities to gain insights from large amounts of structured and unstructured data from various sources.
2) By 2014, 30% of analytic applications will use advanced analytic techniques and the global market for analytics software is expected to reach $34 billion.
3) Enablers of advanced analytics include in-memory databases, data mining, real-time data warehouses, and analytics-as-a-service to process large volumes of data and provide faster results.
Predictive analytics uses statistical techniques and business intelligence technologies to uncover relationships within large datasets to predict future behaviors or outcomes. While predictive analytics can provide benefits like reducing customer churn or improving marketing campaign response rates, it is not widely used due to complexity, underestimating value, high software costs, and reliance on good quality data. The document outlines best practices for predictive analytics including focusing on data management, expecting incremental improvements over time, measuring impact using business metrics, and gaining executive sponsorship for projects.
This document discusses predictive analytics and provides an overview of Oracle's predictive analytics tools.
It argues that predictive analytics is commonly misunderstood as only predicting the future, but can also be used to predict the present based on existing data patterns. It proposes a new conceptual classification of predictive analytics into "predicting the present" and "shaping the future". The document then provides examples of how Oracle Data Mining can be used to predict things in the present like customer preferences, fraud detection, and credit scoring. It also discusses how Oracle Real-Time Decisions integrates predictive analytics into real-time processes.
The document discusses using analytics to drive business actions and decisions. It covers topics like visual data discovery, predictive analytics, optimization, alerts and automation across batch, real-time and streaming analytics. Case studies are presented in areas like retail banking, industrial equipment management and customer analytics. Both quantitative and marketing analytics are discussed as well as how they can be used together to gain business insights.
This document provides an overview of predictive analytics. It discusses what predictive analytics is and how it is used by organizations to make smarter decisions about customers. Predictive analytics uses historical data and statistical techniques to predict future outcomes and automate decisions. Examples are given of how predictive analytics has helped industries like financial services, insurance, telecommunications, retail, and healthcare improve customer decisions and outcomes.
Big Data & Analytics Trends 2016 Vin MalhotraVin Malhotra
This document discusses several trends in analytics for 2016:
1. Data security is a major concern as data volumes grow exponentially and security risks increase. Analytics can help secure data but requires integration across innovation, analytics, connectivity and technology.
2. The Internet of Things generates massive sensor data that requires new analytics to extract value, though challenges remain in integrating sensor and structured data in real time.
3. Open source analytics solutions like Hadoop are increasingly used by enterprises but also require careful risk management and a clear strategy to ensure they align with technology needs.
driving_business_value_from_real_time_streaming_analyticsJane Roberts
Real-time streaming analytics processes data as it is generated to identify patterns and insights without disrupting existing systems. This allows businesses to act with certainty on the latest data and make complex decisions more easily. The document discusses use cases like predictive maintenance, customer behavior analytics, and internet of things analytics. It also introduces StreamAnalytix, a streaming analytics platform that can build applications across industries using a visual interface and integration with Hadoop.
Certus Accelerate - Why You Need to Invest in Your Data by Vincent McBurneyCertus Solutions
Consider this: Data flows from every device, replacing guessing and approximations with precise information. Yet 80% of this data is unstructured; therefore, invisible to computers and of limited use to business.
Explainability for Natural Language ProcessingYunyao Li
Final deck for our popular tutorial on "Explainability for Natural Language Processing" at KDD'2021. See links below for downloadable version (with higher resolution) and recording of the live tutorial.
Title: Explainability for Natural Language Processing
Presenter: Marina Danilevsky, Shipi Dhanorkar, Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu
Website: http://xainlp.github.io/
Recording: https://www.youtube.com/watch?v=PvKOSYGclPk&t=2s
Downloadable version with higher resolution: https://drive.google.com/file/d/1_gt_cS9nP9rcZOn4dcmxc2CErxrHW9CU/view?usp=sharing
@article{kdd2021xaitutorial,
title={Explainability for Natural Language Processing},
author= {Marina Danilevsky, Shipi Dhanorkar and Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu},
journal={KDD},
year={2021}
}
Abstract:
This lecture-style tutorial, which mixes in an interactive literature browsing component, is intended for the many researchers and practitioners working with text data and on applications of natural language processing (NLP) in data science and knowledge discovery. The focus of the tutorial is on the issues of transparency and interpretability as they relate to building models for text and their applications to knowledge discovery. As black-box models have gained popularity for a broad range of tasks in recent years, both the research and industry communities have begun developing new techniques to render them more transparent and interpretable.Reporting from an interdisciplinary team of social science, human-computer interaction (HCI), and NLP/knowledge management researchers, our tutorial has two components: an introduction to explainable AI (XAI) in the NLP domain and a review of the state-of-the-art research; and findings from a qualitative interview study of individuals working on real-world NLP projects as they are applied to various knowledge extraction and discovery at a large, multinational technology and consulting corporation. The first component will introduce core concepts related to explainability inNLP. Then, we will discuss explainability for NLP tasks and reporton a systematic literature review of the state-of-the-art literaturein AI, NLP and HCI conferences. The second component reports on our qualitative interview study, which identifies practical challenges and concerns that arise in real-world development projects that require the modeling and understanding of text data.
Accenture's report explains how creating effortless experiences are so simple and easy with our data-driven strategy framework to drive growth. Read more.
Predictive Analytics: The Next Wave in Business IntelligencePerficient, Inc.
We discuss how Predictive Analytics enables decision makers to predict future events and proactively act on that insight to drive better business outcomes and deliver the insight needed to answer key business questions:
- How to reduce churn and retain the most loyal customers to maximize profitability (predict which customers are most likely to leave and which are most loyal)
- How to detect and ultimately prevent fraudulent activity
- Which factors are most likely to drive customers to choose my product over the competitor’s?
- How to integrate Predictive Analytics with an existing Business Intelligence platform
Presenter Tom Lennon is Director of Perficient's National Business Intelligence Competency Center.
Supply Chain Intelligence and Analytics Executive Guidelines for SuccessHalo BI
Learn from industry experts about the future of supply chain analytics in 2016. Understand the main concerns of executives in the coming year and where the focus will be across the entire supply chain.
The world around us is changing. Data is embedded in everything, and users from all lines of business want to leverage this data to influence decisions. The trick is to create a culture for pervasive analytics and empower the business to use data everywhere.
The core enabling technology to make this happen is Apache Hadoop. By leveraging Hadoop, organizations of all sizes and across all industries are making business models more predictable, and creating significant competitive advantages using big data.
Join Cloudera and Forrester to learn:
- What we mean by pervasive analytics, how it impacts your organization, and how to get started
- How leading organizations are using pervasive analytics for competitive advantage
- How Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster
Pi cube banking on predictive analytics151Cole Capital
Predictive analytics can help banks in several key areas:
1) Predictive models can analyze customer data to better understand customers, identify new customers, estimate lifetime value, maximize spending, and reduce attrition.
2) Risk management models can assess default risk, optimize lending policies, and proactively restructure loans to manage credit risk.
3) Revenue models can help target marketing, make customized offers, and increase sales and loyalty by anticipating customer needs.
Intel, Cloudera and guest speaker Forrester Research, Inc. discuss the strategy of pervasive analytics and real life examples of how analytics have already been embedded into applications and workflows.
Learn how insurance organizations can leverage FastTrack Analytics to improve financial, underwriting, agent & customer service operations. Use your data to gain competitive advantage in challenging economic times.
Artificial Intelligence in Restaurants and Food ServicesDaniel Faggella
The document provides an overview of AI applications in restaurants and food services by Dan Faggella, CEO of TechEmergence. It discusses the current state of AI adoption in SMBs, highlights some potential uses of robotics, kiosks, chatbots, and consumer platforms, and emphasizes that AI will likely impact SMB food services indirectly through consumer applications in the near future rather than requiring direct implementation by restaurants themselves. It cautions against "toy" AI projects and recommends SMBs focus on understanding emerging consumer trends and business intelligence uses of AI.
The document discusses a Forrester research report on big data predictive analytics solutions. It finds that the market is growing as organizations seek to harness big data for predictive analytics to improve business outcomes. Key differentiators among vendors include their tools for handling big data, modeling capabilities, and choice of algorithms. Forrester expects the market to remain competitive with new entrants over the next three years.
Data Science Salon: Adopting Machine Learning to Drive Revenue and Market ShareFormulatedby
The race is on to gain strategic and proprietary insights into changes in customer preferences before your competitors. This workshop will cover how and why machine learning is the tool for marketers to drive revenue and increase market share. The adoption of machine learning does not happen overnight. We will discuss the Five Es of machine learning maturity – Educating, Exploring, Engaging, Executing and Expanding. Hear real-world examples of using machine learning to accelerate revenue, identify new customers and introduce new products based on machine learning capabilities.
Next DSS MIA Event - https://datascience.salon/miami/
Intuition is not a mystery but rather a mechanistic process based on accumulated experience. Leading businesses are engineering intuition into their organizations by harnessing machine learning software, massive cloud processing power, huge amounts of data, and design thinking in experiences. This allows them to anticipate and act with speed and insight, improving decision making through data-driven insights and acting as if on intuition.
Technolony Vision 2016 - Primacy Of People First In A Digital World - Vin Mal...Vin Malhotra
The document discusses emerging technologies and their impact on businesses over the next 3-5 years based on research by Accenture. It identifies 5 technology trends that will be essential for business success: 1) Intelligent Automation using AI to automate tasks, 2) Liquid Workforce to build a flexible workforce, 3) Platform Economy using platforms for business model innovation, 4) Predictable Disruption from digital ecosystems, and 5) Digital Trust to strengthen customer relationships through ethics and security. The research involved input from experts and a global survey of over 3,100 business and IT executives.
1) Advanced analytics uses predictive, proactive, and forecasting capabilities to gain insights from large amounts of structured and unstructured data from various sources.
2) By 2014, 30% of analytic applications will use advanced analytic techniques and the global market for analytics software is expected to reach $34 billion.
3) Enablers of advanced analytics include in-memory databases, data mining, real-time data warehouses, and analytics-as-a-service to process large volumes of data and provide faster results.
Predictive analytics uses statistical techniques and business intelligence technologies to uncover relationships within large datasets to predict future behaviors or outcomes. While predictive analytics can provide benefits like reducing customer churn or improving marketing campaign response rates, it is not widely used due to complexity, underestimating value, high software costs, and reliance on good quality data. The document outlines best practices for predictive analytics including focusing on data management, expecting incremental improvements over time, measuring impact using business metrics, and gaining executive sponsorship for projects.
This document discusses predictive analytics and provides an overview of Oracle's predictive analytics tools.
It argues that predictive analytics is commonly misunderstood as only predicting the future, but can also be used to predict the present based on existing data patterns. It proposes a new conceptual classification of predictive analytics into "predicting the present" and "shaping the future". The document then provides examples of how Oracle Data Mining can be used to predict things in the present like customer preferences, fraud detection, and credit scoring. It also discusses how Oracle Real-Time Decisions integrates predictive analytics into real-time processes.
The document discusses using analytics to drive business actions and decisions. It covers topics like visual data discovery, predictive analytics, optimization, alerts and automation across batch, real-time and streaming analytics. Case studies are presented in areas like retail banking, industrial equipment management and customer analytics. Both quantitative and marketing analytics are discussed as well as how they can be used together to gain business insights.
This document provides an overview of predictive analytics. It discusses what predictive analytics is and how it is used by organizations to make smarter decisions about customers. Predictive analytics uses historical data and statistical techniques to predict future outcomes and automate decisions. Examples are given of how predictive analytics has helped industries like financial services, insurance, telecommunications, retail, and healthcare improve customer decisions and outcomes.
Big Data & Analytics Trends 2016 Vin MalhotraVin Malhotra
This document discusses several trends in analytics for 2016:
1. Data security is a major concern as data volumes grow exponentially and security risks increase. Analytics can help secure data but requires integration across innovation, analytics, connectivity and technology.
2. The Internet of Things generates massive sensor data that requires new analytics to extract value, though challenges remain in integrating sensor and structured data in real time.
3. Open source analytics solutions like Hadoop are increasingly used by enterprises but also require careful risk management and a clear strategy to ensure they align with technology needs.
driving_business_value_from_real_time_streaming_analyticsJane Roberts
Real-time streaming analytics processes data as it is generated to identify patterns and insights without disrupting existing systems. This allows businesses to act with certainty on the latest data and make complex decisions more easily. The document discusses use cases like predictive maintenance, customer behavior analytics, and internet of things analytics. It also introduces StreamAnalytix, a streaming analytics platform that can build applications across industries using a visual interface and integration with Hadoop.
Certus Accelerate - Why You Need to Invest in Your Data by Vincent McBurneyCertus Solutions
Consider this: Data flows from every device, replacing guessing and approximations with precise information. Yet 80% of this data is unstructured; therefore, invisible to computers and of limited use to business.
Explainability for Natural Language ProcessingYunyao Li
Final deck for our popular tutorial on "Explainability for Natural Language Processing" at KDD'2021. See links below for downloadable version (with higher resolution) and recording of the live tutorial.
Title: Explainability for Natural Language Processing
Presenter: Marina Danilevsky, Shipi Dhanorkar, Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu
Website: http://xainlp.github.io/
Recording: https://www.youtube.com/watch?v=PvKOSYGclPk&t=2s
Downloadable version with higher resolution: https://drive.google.com/file/d/1_gt_cS9nP9rcZOn4dcmxc2CErxrHW9CU/view?usp=sharing
@article{kdd2021xaitutorial,
title={Explainability for Natural Language Processing},
author= {Marina Danilevsky, Shipi Dhanorkar and Yunyao Li and Lucian Popa and Kun Qian and Anbang Xu},
journal={KDD},
year={2021}
}
Abstract:
This lecture-style tutorial, which mixes in an interactive literature browsing component, is intended for the many researchers and practitioners working with text data and on applications of natural language processing (NLP) in data science and knowledge discovery. The focus of the tutorial is on the issues of transparency and interpretability as they relate to building models for text and their applications to knowledge discovery. As black-box models have gained popularity for a broad range of tasks in recent years, both the research and industry communities have begun developing new techniques to render them more transparent and interpretable.Reporting from an interdisciplinary team of social science, human-computer interaction (HCI), and NLP/knowledge management researchers, our tutorial has two components: an introduction to explainable AI (XAI) in the NLP domain and a review of the state-of-the-art research; and findings from a qualitative interview study of individuals working on real-world NLP projects as they are applied to various knowledge extraction and discovery at a large, multinational technology and consulting corporation. The first component will introduce core concepts related to explainability inNLP. Then, we will discuss explainability for NLP tasks and reporton a systematic literature review of the state-of-the-art literaturein AI, NLP and HCI conferences. The second component reports on our qualitative interview study, which identifies practical challenges and concerns that arise in real-world development projects that require the modeling and understanding of text data.
Accenture's report explains how creating effortless experiences are so simple and easy with our data-driven strategy framework to drive growth. Read more.
Predictive Analytics: The Next Wave in Business IntelligencePerficient, Inc.
We discuss how Predictive Analytics enables decision makers to predict future events and proactively act on that insight to drive better business outcomes and deliver the insight needed to answer key business questions:
- How to reduce churn and retain the most loyal customers to maximize profitability (predict which customers are most likely to leave and which are most loyal)
- How to detect and ultimately prevent fraudulent activity
- Which factors are most likely to drive customers to choose my product over the competitor’s?
- How to integrate Predictive Analytics with an existing Business Intelligence platform
Presenter Tom Lennon is Director of Perficient's National Business Intelligence Competency Center.
Supply Chain Intelligence and Analytics Executive Guidelines for SuccessHalo BI
Learn from industry experts about the future of supply chain analytics in 2016. Understand the main concerns of executives in the coming year and where the focus will be across the entire supply chain.
The world around us is changing. Data is embedded in everything, and users from all lines of business want to leverage this data to influence decisions. The trick is to create a culture for pervasive analytics and empower the business to use data everywhere.
The core enabling technology to make this happen is Apache Hadoop. By leveraging Hadoop, organizations of all sizes and across all industries are making business models more predictable, and creating significant competitive advantages using big data.
Join Cloudera and Forrester to learn:
- What we mean by pervasive analytics, how it impacts your organization, and how to get started
- How leading organizations are using pervasive analytics for competitive advantage
- How Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster
Pi cube banking on predictive analytics151Cole Capital
Predictive analytics can help banks in several key areas:
1) Predictive models can analyze customer data to better understand customers, identify new customers, estimate lifetime value, maximize spending, and reduce attrition.
2) Risk management models can assess default risk, optimize lending policies, and proactively restructure loans to manage credit risk.
3) Revenue models can help target marketing, make customized offers, and increase sales and loyalty by anticipating customer needs.
Intel, Cloudera and guest speaker Forrester Research, Inc. discuss the strategy of pervasive analytics and real life examples of how analytics have already been embedded into applications and workflows.
Learn how insurance organizations can leverage FastTrack Analytics to improve financial, underwriting, agent & customer service operations. Use your data to gain competitive advantage in challenging economic times.
Artificial Intelligence in Restaurants and Food ServicesDaniel Faggella
The document provides an overview of AI applications in restaurants and food services by Dan Faggella, CEO of TechEmergence. It discusses the current state of AI adoption in SMBs, highlights some potential uses of robotics, kiosks, chatbots, and consumer platforms, and emphasizes that AI will likely impact SMB food services indirectly through consumer applications in the near future rather than requiring direct implementation by restaurants themselves. It cautions against "toy" AI projects and recommends SMBs focus on understanding emerging consumer trends and business intelligence uses of AI.
The document discusses a Forrester research report on big data predictive analytics solutions. It finds that the market is growing as organizations seek to harness big data for predictive analytics to improve business outcomes. Key differentiators among vendors include their tools for handling big data, modeling capabilities, and choice of algorithms. Forrester expects the market to remain competitive with new entrants over the next three years.
Data Science Salon: Adopting Machine Learning to Drive Revenue and Market ShareFormulatedby
The race is on to gain strategic and proprietary insights into changes in customer preferences before your competitors. This workshop will cover how and why machine learning is the tool for marketers to drive revenue and increase market share. The adoption of machine learning does not happen overnight. We will discuss the Five Es of machine learning maturity – Educating, Exploring, Engaging, Executing and Expanding. Hear real-world examples of using machine learning to accelerate revenue, identify new customers and introduce new products based on machine learning capabilities.
Next DSS MIA Event - https://datascience.salon/miami/
This document discusses eight criteria for choosing a self-service analytics platform: 1) Usability - The interface should be intuitive for both power users and non-technical users. 2) Scalability - The platform should be able to support a growing user base without increasing costs. 3) Security - The platform must have strong data security to safely share information with external users. 4) Data services and integration - The platform should integrate data from various sources and enable access for users. 5) Functionality - The platform should have a broad range of capabilities in a single system to meet different user needs. Real-world examples are provided to illustrate how companies have benefited from self-service analytics.
How Can Enterprise App Development Help Your Business Growth.pdfXDuce Corporation
Enterprise application development is the process of creating and deploying scalable and
reliable apps to help enterprises streamline their business operations, improve productivity,
lower costs, and so on. Enterprise app development is possible to develop for both internal
and external use. Enterprise app development helps a business in many ways. The significant
advantage of enterprise app development services is that it provides the ability to store a
massive amount of informatio
How Can Enterprise App Development Help Your Business Growth.pptxXDuce Corporation
Organizations have seen growth in the demand for enterprise app development. It has made
developers build multiple apps that help their clients to grow business with enterprise
applications. Such as Automated billing systems, Payment processing systems, Email
marketing systems, Customer Relationship Management (CRM), Enterprise Resource
Planning (ERP), Business Continuity Planning (BCP), Enterprise Application Integration
(EAI), Enterprise Content Management, Enterprise Messaging Systems (EMS), HR
Management
This document discusses analytics solutions provided by Sensiple. It describes key challenges in analytics like deciding which data is relevant and having flexible capabilities. It then outlines different types of analytics solutions Sensiple provides, including for applications, campaigns, services, web, mobile, social media, conversion testing, dashboards, auditing, real-time analytics, data mining, usability, and competitors. Sensiple aims to simplify complex data and generate faster insights for businesses to capture opportunities.
Big Data Analytics in light of Financial Industry Capgemini
Big data and analytics have the potential to transform economies and competition by delivering new productivity growth. Effective use of big data can increase operating margins over 60% for retailers and save $300 billion in US healthcare and $250 billion in European public sector. Companies that improve decision making through big data have seen a 26% performance improvement over 3 years on average. Emerging technologies like self-driving cars will rely heavily on analyzing vast amounts of real-time sensor data.
This document provides an overview of predictive analytics and its growing importance. It discusses how advances in technologies like cloud computing and the internet of things are enabling businesses to gather and analyze vast amounts of data. While descriptive and diagnostic analytics describe what happened in the past, predictive analytics uses statistical techniques to create models that forecast future outcomes. The document outlines several key drivers that are pushing predictive analytics towards mainstream adoption over the next few years, including easier-to-use tools, open source software, innovation from startups, and the availability of cloud-based solutions. It concludes that the combination of big data and predictive analytics will continue to accelerate innovation across industries.
This white paper discusses how companies can apply data science insights to improve products and operations. It describes the typical data science project lifecycle, including problem definition, data collection, model building and testing. However, many companies struggle to deploy models into production applications. The paper argues that data science teams need tools that allow models to be easily updated and redeployed without disrupting operations. The Yhat platform aims to streamline this process and help companies more quickly turn insights into data-driven products.
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesDerek Kane
This is the first lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics approaches. This lecture provides an overview of the models and techniques we will address throughout the lecture series, we will discuss Business Intelligence topics, predictive analytics, and big data technologies. Finally, we will walk through a simple yet effective example which showcases the potential of predictive analytics in a business context.
MphasiS provides various big data offerings including analytics on unstructured data like text, social media, images and logs. It also offers solutions to integrate structured and unstructured data for 360-degree insights. MphasiS has experience applying advanced analytics techniques like data mining and predictive modeling to solve problems in optimization, employee retention, and fraud prevention. It can help clients migrate to big data platforms like Hadoop, Hive, HBase, Vertica, and SAP HANA.
Big Data white paper - Benefits of a Strategic Visionpanoratio
Following the massive deployment of new mobile technologies and social media, sources of data regarding organizations’ customer and staff behaviors keep increasing. However only a few companies are able to have a real knowledge of all the corresponding data.
Big Data management provides new capabilities both in term of velocity and volume of heterogeneous data processing. Those new systems impact directly the way organizations manage operational data monitoring, and are still complex to implement.
The first benefit of Panoratio is to allow organizations to handle the strategic dimension of Big Data, to serve companies’ challenges and business priorities before to implement new optimized operational monitoring systems.
I have been drinking from a virtual fire hose since joining my most recent technology company, Anametrix, a cloud-based digital analytics innovator. A whole new book opened for me on how digital analytics can both increase top line revenue and reduce spend by shining a very bright flashlight into marketing efforts.
We are all painfully aware of the data explosion problem. In 2011, the Gartner Group stated that information volume collected by businesses today is growing at a minimum 59% annually. The rapid adoption of social media has also caused customer data to explode in the last few years, creating entirely new challenges for marketers. It is now imperative for organizations to think differently to accommodate the variety, volume, and velocity of their growing customer-related data.
This is where my recent experiences come in: I have personally seen how digital analytics can harness the power of massive amounts customer-related data. It can literally simplify the accelerating complexity by providing deep visibility – as well as clarity – into the effectiveness of various marketing efforts, across both online and offline channels.
I will now outline the role of IT and CFO in adopting cloud-based digital analytics solutions, discuss the benefits as well as challenges of moving to this emerging category, and provide some illustrative examples on how digital analytics can transform your marketing organization.
The document discusses how artificial intelligence is being used to improve performance testing. It describes what performance testing is and why it is important. It then explains how AI can help with various aspects of performance testing like data analysis, issue identification, test automation, and load testing. The key benefits of using AI for performance testing include increased efficiency, precision, coverage, and cost savings. It concludes by stating that AI has the potential to revolutionize software testing.
KEY CHALLENGES FOR MONETIZING BIG DATA POWERED AI: AN OVERVIEWTyrone Systems
YOU’RE NOT THE ONLY ONE FACING THIS PROBLEM
according to recent articles in the Harvard Business Review and McKinsey. But don’t blame big data for that. It’s all your fault
Business Partner Product Enablement Roadmap, IBM Predictive AnalyticsArrow ECS UK
This document provides an overview of IBM's predictive analytics products and capabilities. It discusses IBM SPSS products like Statistics, Modeler, Data Collection, Text Analytics for Surveys, and Analytic Server. It explains what each product does, such as build predictive models, analyze structured and unstructured data, deploy analytics, and more. The document also highlights the strengths of the IBM predictive analytics portfolio in areas like customer analytics, operational analytics, threat and fraud analytics, and decision management.
Data Analytics has become a crucial part of the IT industry, as businesses strive to extract meaningful insights from the massive amounts of data they generate. APTRON's Data Analytics Training in Gurgaon is designed to equip learners with the knowledge and skills required to become proficient in the field.
This document provides a summary of 19 vendor briefings from the 2016 Strata Conference in NYC. It includes 3-sentence summaries of presentations by Alation, AllSight, Alpine Data, Basho Technologies, Cambridge Semantics, Continuum Analytics, Dataiku, Dell EMC, GigaSpaces, Logtrust, MapR Technologies, Rocana, and SAP. Each summary highlights the vendor's solution, how it addresses key challenges identified in DEJ research, and a relevant quote from the presentation.
Augmented analytics will push the analytics adoptionPolestarsolutions
The world of data analytics is no longer restricted to data scientists, IT, and analysts. Augmented analytics combines the best aspects of ML and human curiosity to assist users get quicker insights, consider data from unique angles, increase productivity and assist users of all skill levels to make smarter decisions based on AI analytics.
Prepared by the EBG in collaboration with the Boston Consulting Group and IBM, the 2016 Guide answers this question by drawing on 65 interviews with top decision-
makers (Chief Executive Officers, Chief Digital Officers, Chief Operating Officers, etc.) of French and international companies, including traditional, but also pure plays.
The areas of activity have been arranged into 5 groups:
• Transport, Travel and Hotels,
• Telecom, Media, Energy, Gaming,
• Fashion, Distribution and Consumer Goods,
• Insurance,
• Banking.
By surveying these different B2C or B2B2C sectors, a more global image of digital industrialization emerges, beyond pilot programs.
Several analytic tools used by the Boston Consulting Group were applied to the analysis
of this work:
The matrix of the digital disruption of the BCG economic environment allows us to evaluate the intensity of the disruption that affects these different sectors and their level of transformation.
Les 8 500 collaborateurs du Groupe Apave sont les utilisateurs d’une seule me...Solutions IT et Business
La migration de Lotus Notes vers la solution IBM Connections Cloud apporte de nouvelles possibilités de communication, avec une sécurité accrue notamment pour les utilisateurs mobiles. La DSI a transféré à IBM la responsabilité de la maintenance et de la supervision de la solution.
Airbus accélère la transformation numérique des opérations de maintenance ave...Solutions IT et Business
L’application « Maintenance Mobility » est la première à bénéficier de l’expertise multidisciplinaire d’IBM Studios. Délais très raccourcis, fonctionnalités plus nombreuses, client agréablement surpris et une équipe Airbus enthousiaste. Une nouvelle façon de concevoir des applications qui porte ses fruits.
Les avantages
La solution a permis:
Passage de 6 mois à 3 semaines pour réaliser un prototype
4 fois plus de fonctionnalités
Satisfaction immédiate des utilisateurs
Stockage de demain - Répondre aux nouveaux challenges avec IBM Storwize V5000Solutions IT et Business
Répondez aux nouveaux challenges du monde du stockage de demain avec la Nouvelle IBM Storwize V5000 Gen 2 et maitrisez simplement votre océan de données. La nouvelle baie de stockage IBM Storwize V5000, conçue avec le logiciel IBM Spectrum Virtualize, inclut une solution de stockage hybride simple d'utilisation et hautement flexible, qui offre des performances améliorées et un support d'entreprise
A travers cette vidéo vous allez :
- Comprendre dans quel environnement nous évoluons et ses challenges
- Découvrir comment la nouvelle V5000 gen2 s’y adapte
- Entrer plus en détails sur les caractéristiques uniques et évolutives de ce produit
Slideshare :
Pour en savoir plus : http://www-03.ibm.com/systems/fr/storage/disk/storwize_v5000/ ou contacter :
- Julien Francoual – Digital Sales Specialist : julien.francoual@ie.ibm.com
Déployer une infrastructure de stockage en quelques minutes – IBM Spectrum Ac...Solutions IT et Business
IBM Spectrum Accelerate™ est une solution de stockage défini par logiciel destinée à accélérer la fourniture des données dans toute l'organisation et à ajouter une extrême souplesse aux déploiements de cloud. IBM Spectrum Accelerate tire facilement parti de l'infrastructure de centre de données existante, tout en offrant des performances sans blocage, une gestion simple des données.
- Utilisez IBM Spectrum Accelerate comme première étape du déploiement d'un stockage défini par logiciel réactif.
- Déployez de nouvelles configurations de stockage lorsque nécessaire en quelques minutes.
- Utilisez des capacités fiables avec une intelligence de stockage accrue comme socle pour le cloud et pour standardiser les opérations liées aux données.
Pour en savoir plus : http://www-03.ibm.com/systems/fr/storage/spectrum/accelerate/ ou contacter :
- Marieke SCHABAILLE – Digital Sales Specialist : Mschabai@ie.ibm.com
- Eric Cohen - CTS ProtecTIER / XIV / Spectrum Accelerate : ericcohen@fr.ibm.com
Mener vos projets IT sur le secteur public est parfois long et compliqué. IBM vous aide à accélérer le processus d'achat d'infrastructure grâce à son référencement UGAP. Tous les clients du Secteur Public peuvent désormais accéder (sans lancement d’appel d'offre) au catalogue UGAP du marché de référencement pour les offres logicielles, les offres stockage et les offres de service IBM.
Pour en savoir plus : http://www-935.ibm.com/industries/fr/fr/secteurpublic/ugap/ ou contacter :
- Jeremy Favresse – Digital Sales Specialist : jeremy.favresse@ie.ibm.com
Linux on Power vous permet d'étendre votre parc informatique et d'augmenter la puissance de ses machines afin de faire partie des leaders sur le marché de la réponse instantanée
Supportées par tous les serveurs Power Systems que nous fabriquons, les solutions Linux on Power Systems sont la seule infrastructure Linux qui permette à la fois une évolutivité horizontale et verticale (en scale-out et scale-up) répondant aux besoins de votre entreprise et aux exigences élevées du marché de la réponse instantanée. Optimisez votre infrastructure pour faire face aux nouveaux défis métier, avec les distributions Linux de Red Hat, SUSE et Ubuntu conformes aux normes de l'industrie.
Pour en savoir plus : http://www-03.ibm.com/systems/fr/power/software/linux/ ou contacter :
- Thibaud Besson, Avant-vente technique IBM Power Systems : thibaud.besson@fr.ibm.com
- Carlos Franco – Digital Sales Specialist : carlos.franco@ie.ibm.com
Découvrez les avantages du stockage IBM Flash ! Les solutions de stockage IBM Flash fournissent la micro-latence, les performances évolutives et l'efficacité opérationnelle nécessaires pour découvrir des informations à partir de volumes massifs de données. Maintenant, vous pouvez faire plus avec moins pour déjouer la concurrence.
IBM FlashSystem va transformer votre entreprise grâce de meilleures décisions prises en temps réel et basées sur les données.
Pour en savoir plus : http://www-03.ibm.com/systems/fr/storage/flash/ ou contacter :
- Youness RACHACH – Software-Defined Storage Specialist : youness.r@fr.ibm.com
- Erwan AUFFRET – Avant-Vente Technique : erwan.auffret@fr.ibm.com
- Marieke SCHABAILLE – Digital Sales Specialist : Mschabai@ie.ibm.com
IBM ajoute des fonctions à la nouvelle version du système d'exploitation IBM i qui vont permettre à tous les utilisateurs et partenaires de continuer à capitaliser sur la plateforme Power IBM i.
Pour en savoir plus : http://www-03.ibm.com/systems/fr/powe... ou contactez :
- Carlos Franco au 0 810 009 810
- Philippe Hans : hans@fr.ibm.com
- Joseph Esnault : joseph.esnault@fr.ibm.com
Cette présentation accompagne un wébinaire en français enregistré le 19 mai 2016 que vous pouvez retrouver ici : https://youtu.be/SkziTBsooGw
Brittany Ferries gagne une semaine de travail à chaque consolidation budgétaireSolutions IT et Business
La solution
Déployé en 5 mois, IBM Cognos TM1 a permis de prendre en compte les enjeux du client (multidevises, langues). La solution offre une plateforme sur-mesure de planification et d’analyse budgétaire comme réponse aux enjeux économiques de Brittany Ferries.
Les avantages
La mise en place d’IBM Cognos TM1 a permis d’augmenter la valeur ajoutée du contrôle de gestion du client.
Raccourcir les cycles et éliminer les ressaisies d’informations
Automatiser le recalage des modélisations économiques (passage d'une semaine de travaux à quelques minutes)
Consolidation et restitution immédiate des chiffres aux responsables
Harmoniser et standardiser les formats des budgets
Le client
Brittany Ferries est une société française créée en 1972. Premier transporteur maritime sur la Manche Ouest et Centrale, Brittany Ferries compte aujourd’hui :
11 ports desservis par 10 navires exploités
2 300 000 passagers par an
2500 collaborateurs dans 4 pays
Un CA total de 376,5 M€ en 2014
FindBrok : Le 1er réseau social mondial de l’assurance et de la finance se dé...Solutions IT et Business
L’enjeu
Le lancement de FindBrok.me devait se faire rapidement, à l’échelle de la planète et convaincre très vite. Le besoin était : une plateforme de développement puissante et
solide, une infrastructure d’hébergement fiable et évolutive, un accès instantané aux informations les plus pertinentes.
La transformation
En misant sur le Cloud avec Bluemix (développement), IBM SoftLayer (hébergement) et IBM Watson (intelligence artificielle), FindBrok a pour objectif d’accompagner la
transformation numérique des professions
réglementées. FindBrok dynamise l’interprofessionnalité en créant un modèle de business innovant, nourri par l’intelligence collective et par l’informatique cognitive.
EMLyon accélère sa transformation digitale et invente la Smarter Business SchoolSolutions IT et Business
Le défi à relever
Face aux enjeux de la mondialisation et aux nouveaux usages liés au numérique, EMLYON Business School veut s’affranchir des modèles traditionnels d’éducation pour se développer. Son ambition est de proposer une offre de formation personnalisée, digitale, accessible 24h/24 de partout dans le monde.
La création d’un nouvel environnement d’apprentissage global et digital basé sur la technologie Cloud d’IBM fait passer EMLYON Business School à l’ère de l’école intelligente. Etudiants, professeurs, anciens élèves, partenaires, accèdent à des contenus adaptés à leurs attentes à l’aide de leurs smartphones, tablettes et PC, et de technologies collaboratives.
Les avantages
- 180 enseignants utilisateurs de la plateforme digitale
-Une solution accessible 24h/24, 7j/7, dans le monde entier, grâce au Cloud
-Optimisationdes flux de données et valorisationdes savoirs avec le BigData
-Relations étudiants-enseignants plus riches
Accompagner la stratégie 2020 de l’école avec pour objectif :
-3 300 étudiants au coeur d’un nouvel environnement pédagogique
-180 enseignants utilisateurs de la plateforme digitale
Infographie : IBM Spectrum Accelerate, système ultra-flexible de stockage déf...Solutions IT et Business
IBM Spectrum Accelerate est un système ultra-flexible de stockage défini par logiciel, à déployer rapidement et partout. Ce système est basé sur la technologie XIV éprouvée, maintenant adaptée aux serveurs de commodité
L’association Les petits frères des Pauvres innove avec une solution Cloud d’...Solutions IT et Business
Aperçu
L’enjeu pour Les petits frères des Pauvres
Adapter ses moyens de collecte et de
suivi des données budgétaires aux
nouveaux principes de gouvernance
de l’association.
La solution
Création d’un portail Finances avec la
plateforme de planification budgétaire
IBM Cognos TM1 en mode Software
as a Service (SaaS).
La transformation
Une porte d’entrée unique d’accès
à l’information qui se fixe comme
objectif de diviser par 2 le temps
d’élaboration du budget.
• Partage accéléré et sécurisé des
mêmes données de pilotage par les
services nationaux, les directions
régionales et les équipes d’action
territoriale.
• Reporting et tableaux de bord en
temps réel des données terrain.
• Saisie des dépenses et recettes
simple et intuitive par des
bénévoles.
L’offre
• IBM Cognos TM1
• Accompagnement par le cabinet de
conseil Anone : analyse, conduite
de projet, paramétrage, aide au
déploiement.
La solution : http://www-03.ibm.com/software/products/fr/cognostm1
Le client : https://www.petitsfreresdespauvres.fr/
Mastering Local SEO for Service Businesses in the AI Era"" is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
In this dynamic session titled "Future-Proof Like Beyoncé: Syncing Email and Social Media for Iconic Brand Longevity," Carlos Gil, U.S. Brand Evangelist for GetResponse, unveils how to safeguard and elevate your digital marketing strategy. Explore how integrating email marketing with social media can not only increase your brand's reach but also secure its future in the ever-changing digital landscape. Carlos will share invaluable insights on developing a robust email list, leveraging data integration for targeted campaigns, and implementing AI tools to enhance cross-platform engagement. Attendees will learn how to maintain a consistent brand voice across all channels and adapt to platform changes proactively. This session is essential for marketers aiming to diversify their online presence and minimize dependence on any single platform. Join Carlos to discover how to turn social media followers into loyal email subscribers and ultimately, drive sustainable growth and revenue for your brand. By harnessing the best practices and innovative strategies discussed, you will be equipped to navigate the challenges of the digital age, ensuring your brand remains relevant and resonant with your audience, no matter the platform. Don’t miss this opportunity to transform your approach and achieve iconic brand longevity akin to Beyoncé's enduring influence in the entertainment industry.
Key Takeaways:
Integration of Email and Social Media: Understanding how to seamlessly integrate email marketing with social media efforts to expand reach and reinforce brand presence. Building a Robust Email List: Strategies for developing a strong email list that provides a direct line of communication to your audience, independent of social media algorithms. Data Integration for Targeted Campaigns: Leveraging combined data from email and social media to create personalized, targeted marketing campaigns that resonate with the audience. Utilization of AI Tools: Implementing AI and automation tools to enhance efficiency and effectiveness across marketing channels. Consistent Brand Voice Across Platforms: Maintaining a unified brand voice and message across all digital platforms to strengthen brand identity and user trust. Proactive Adaptation to Platform Changes: Staying ahead of social media platform changes and algorithm updates to keep engagement high and interactions meaningful. Conversion of Social Followers to Email Subscribers: Techniques to encourage social media followers to subscribe to email, ensuring a direct and consistent connection. Sustainable Growth and Minimized Platform Dependence: Strategies to diversify digital presence and reduce reliance on any single social media platform, thereby mitigating risks associated with platform volatility.
The Strategic Impact of Storytelling in the Age of AI
In the grand tapestry of marketing, where algorithms analyze data and artificial intelligence predicts trends, one essential thread remains constant — the timeless art of storytelling. As we stand on the precipice of a new era driven by AI, join me in unraveling the narrative alchemy that transforms brands from mere entities into captivating tales that resonate across the digital landscape. In this exploration, we will discover how, in the face of advancing technology, the human touch of a well-crafted story becomes not just a marketing tool but the very essence that breathes life into brands and forges lasting connections with our audience.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
Dive deep into the cutting-edge strategies we're employing to revolutionize our web presence in the age of AI-driven search. As Gen Z reshapes the digital realm, discover how we can bridge the generational divide. Unlock the synergistic power of PPC, social media, and SEO, driving unparalleled revenues for our projects.
We’ve entered a new era in digital. Search and AI are colliding, in more ways than one. And they all have major implications for marketers.
• SEOs now use AI to optimize content.
• Google now uses AI to generate answers.
• Users are skipping search completely. They can now use AI to get answers. So AI has changed everything …or maybe not. Our audience hasn’t changed. Their information needs haven’t changed. Their perception of quality hasn’t changed. In reality, the most important things haven’t changed at all. In this session, you’ll learn the impact of AI. And you’ll learn ways that AI can make us better at the classic challenges: getting discovered, connecting through content and staying top of mind with the people who matter most. We’ll use timely tools to rebuild timeless foundations. We’ll do better basics, but with the most advanced techniques. Andy will share a set of frameworks, prompts and techniques for better digital basics, using the latest tools of today. And in the end, Andy will consider - in a brief glimpse - what might be the biggest change of all, and how to expand your footprint in the new digital landscape.
Key Takeaways:
How to use AI to optimize your content
How to find topics that algorithms love
How to get AI to mention your content and your brand
Unlock the secrets to creating a standout trade show booth with our comprehensive guide from Blue Atlas Marketing! This presentation is packed with essential tips and innovative strategies to ensure your booth attracts attention, engages visitors, and drives business success. Whether you're a seasoned exhibitor or a first-timer, these expert insights will help you maximize your impact and make a memorable impression in a crowded exhibition hall. Learn how to:
Design an eye-catching and inviting booth
Incorporate interactive elements that engage visitors
Use effective branding and visuals to reinforce your message
Plan your booth layout for maximum traffic flow
Implement technology to enhance the visitor experience
Create memorable experiences that leave a lasting impression
Transform your trade show presence with these proven tactics and ensure your booth stands out from the competition. Download the PDF now and start planning your next successful exhibit!
The advent of AI offers marketers unprecedented opportunities to craft personalized and engaging customer experiences, evolving customer engagements from one-sided conversations to interactive dialogues. By leveraging AI, companies can now engage in meaningful dialogues with customers, gaining deep insights into their preferences and delivering customized solutions.
Susan will present case studies illustrating AI's application in enhancing customer interactions across diverse sectors. She'll cover a range of AI tools, including chatbots, voice assistants, predictive analytics, and conversational marketing, demonstrating how these technologies can be woven into marketing strategies to foster personalized customer connections.
Participants will learn about the advantages and hurdles of integrating AI in marketing initiatives, along with actionable advice on starting this transformation. They will understand how AI can automate mundane tasks, refine customer data analysis, and offer personalized experiences on a large scale.
Attendees will come away with an understanding of AI's potential to redefine marketing, equipped with the knowledge and tactics to leverage AI in staying competitive. The talk aims to motivate professionals to adopt AI in enhancing their CX, driving greater customer engagement, loyalty, and business success.
We will explore the transformative journey of American Bath Group as they transitioned from a traditional monolithic CMS to a dynamic, composable martech framework using Kontent.ai. Discover the strategic decisions, challenges, and key benefits realized through adopting a headless CMS approach. Learn how composable business models empower marketers with flexibility, speed, and integration capabilities, ultimately enhancing digital experiences and operational efficiency. This session is essential for marketers looking to understand the practical impacts and advantages of composable technology in today's digital landscape. Join us to gain valuable insights and actionable takeaways from a real-world implementation that redefines the boundaries of marketing technology.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
Boost Your Instagram Views Instantly Proven Free Strategies.InstBlast Marketing
Supercars use advanced materials and tech for top-speed performance. Join Performance Car Exclusive to experience driving excellence.
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As 2023 proved, the next few years may be shaped by market volatility and artificial intelligence services such as OpenAI's ChatGPT and Perplexity.ai. Your brand will increasingly compete for attention with Google, Apple, OpenAI, and Amazon, and customers will expect a hyper-relevant and individualized experience from every business at any moment. New state-legislated data privacy laws and several FTC rules may challenge marketers to deliver contextually relevant customer experiences, much less reach unknown prospective buyers. Are you ready?Let's discuss the critical need for data governance and applied AI for your business rather than relying on public AI models. As AI permeates society and all industries, learn how to be future-ready, compliant, and confidentlyscaling growth.
Key Takeaways:
Primary Learning Objective
1: Grasp when artificial general intelligence (""AGI"") will arrive, and how your brand can navigate the consequences. Primary Learning Objective
2: Gain an accurate analysis of the continuously developing customer journey and business intelligence. Primary Learning Objective
3: Grow revenue at lower costs with more efficient marketing and business operations.
Mastering Dynamic Web Designing A Comprehensive Guide.pdfIbrandizer
Dynamic Web Designing involves creating interactive and adaptable web pages that respond to user input and change dynamically, enhancing user experience with real-time data, animations, and personalized content tailored to individual preferences.
Mastering Dynamic Web Designing A Comprehensive Guide.pdf
1 tihify
1. Forrester Research, Inc., 60 Acorn Park Drive, Cambridge, MA 02140 USA
Tel: +1 617.613.6000 | Fax: +1 617.613.5000 | www.forrester.com
The Forrester Wave™: Big Data
Predictive Analytics Solutions, Q2 2015
by Mike Gualtieri and Rowan Curran, April 1, 2015
For: Application
Development
& Delivery
Professionals
Key Takeaways
Enterprises Have Lots Of Solid Choices For Big Data Predictive Analytics
Solutions
Among the 13 big data predictive analytics solution vendors Forrester evaluated, we
found three Leaders, eight Strong Performers, and two Contenders.
Modern Tools Bring Predictive Power To More Classes Of Users
Organizations in every industry are perking up to the value of predictive analytics. With
a growth in demand, predictive analytics vendors are providing tools that lower the
barrier to entry and increase appeal for those with less statistics skills.
Predictive Analytics Enable Organizations To Embed Intelligence And Insight
Predictive analytics has limited value unless the exposed insights can be deployed
directly into software applications and business processes. API calls, web services, and
predictive model markup language (PMMLs) are some of the methods that companies
are using to seamlessly integrate predictions into their business.
Download The Forrester Wave Model Spreadsheet For Deeper Insight
Use the detailed Forrester Wave model to view every piece of data used to score
participating vendors and create a custom vendor shortlist. Access the report online and
download the Excel tool using the link in the right-hand column under “Tools & Templates.”
Alter Forrester’s weightings to tailor the Forrester Wave model to your specifications.
18. Forrester Research (Nasdaq: FORR) is a global research and advisory firm serving professionals in 13 key roles across three distinct client
segments. Our clients face progressively complex business and technology decisions every day. To help them understand, strategize, and act
upon opportunities brought by change, Forrester provides proprietary research, consumer and business data, custom consulting, events and
online communities, and peer-to-peer executive programs. We guide leaders in business technology, marketing and strategy, and the technology
industry through independent fact-based insight, ensuring their business success today and tomorrow. 115697
«
Forrester Focuses On
Application Development & Delivery Professionals
Responsible for leading the development and delivery of applications
that support your company’s business strategies, you also choose
technology and architecture while managing people, skills, practices,
and organization to maximize value. Forrester’s subject-matter expertise
and deep understanding of your role will help you create forward-thinking
strategies; weigh opportunity against risk; justify decisions; and optimize
your individual, team, and corporate performance.
Andrea Davies, client persona representing Application Development & Delivery Professionals
About Forrester
A global research and advisory firm, Forrester inspires leaders,
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